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                <div id="site-name"><a href="../../sphinx_pages/build/html/index.html">Shark machine learning library</a></div>
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<div class="textblock">Here is a list of all typedefs with links to the classes they belong to:</div>

<h3><a id="index_p" name="index_p"></a>- p -</h3><ul>
<li>ParameterVectorType&#160;:&#160;<a class="el" href="classshark_1_1_classifier.html#a2e36a54e9541fbc7ed0138fd91c9a6a9">shark::Classifier&lt; Model &gt;</a>, <a class="el" href="classshark_1_1_concatenated_model.html#a070d86b2c6c81efcb1b4022e50feeb18">shark::ConcatenatedModel&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_conv2_d_model.html#a1a6bf16a226df283254eed73c480b280">shark::Conv2DModel&lt; VectorType, ActivationFunction &gt;</a>, <a class="el" href="classshark_1_1_dropout_layer.html#a5afad3ac1ca85c8745900ccf74638acb">shark::DropoutLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_i_parameterizable.html#a2ad5e2e60b2b352988b41f46024d790b">shark::IParameterizable&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_linear_model.html#a77c13e729eb7160c2ef7ed6b9313b127">shark::LinearModel&lt; InputType, ActivationFunction &gt;</a>, <a class="el" href="classshark_1_1_neuron_layer.html#a134859aea3b11c60ce809eec77789860">shark::NeuronLayer&lt; NeuronType, VectorType &gt;</a>, <a class="el" href="classshark_1_1_optimization_trainer.html#a94821f625b14c0a2110f8fe1573e04b2">shark::OptimizationTrainer&lt; Model, LabelTypeT &gt;</a>, <a class="el" href="classshark_1_1_pooling_layer.html#ac7cdb7122418ae31bef77d22aae75910">shark::PoolingLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_resize_layer.html#a165db648b407275a7a9b2d870757c8ff">shark::ResizeLayer&lt; VectorType &gt;</a></li>
<li>PartlyPrecomputedMatrixType&#160;:&#160;<a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a86c3c80eefc4b570704a0d8bbc5a0f97">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_s_g_d_trainer.html#adf916f6e4f7e0593ba14ef630f9a449d">shark::KernelSGDTrainer&lt; InputType, CacheType &gt;</a></li>
<li>PointerType&#160;:&#160;<a class="el" href="classshark_1_1_example_modified_kernel_matrix.html#aee5f5afe285add5ec8fe31eeba21731a">shark::ExampleModifiedKernelMatrix&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_gaussian_kernel_matrix.html#a75fa1e1c877b9f52b7934e7fe4905ddd">shark::GaussianKernelMatrix&lt; T, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_matrix.html#ab4e409d88bff0f586ad51d92b04efc24">shark::KernelMatrix&lt; InputType, CacheType &gt;</a></li>
<li>PointResultPairConstIterator&#160;:&#160;<a class="el" href="classshark_1_1_evaluation_archive.html#a84a9cee45c1e863aec1da7bf24870a14">shark::EvaluationArchive&lt; PointType, ResultT &gt;</a></li>
<li>PointResultPairContainer&#160;:&#160;<a class="el" href="classshark_1_1_evaluation_archive.html#a4daf431052767cb6d8e85e46eeeceb5d">shark::EvaluationArchive&lt; PointType, ResultT &gt;</a></li>
<li>PointResultPairIterator&#160;:&#160;<a class="el" href="classshark_1_1_evaluation_archive.html#a86b696018a50ef61a414de27468017fb">shark::EvaluationArchive&lt; PointType, ResultT &gt;</a></li>
<li>PrecomputedBlockMatrixType&#160;:&#160;<a class="el" href="classshark_1_1_epsilon_svm_trainer.html#aefaf6c666566d00fcd2822f6e3e34f46">shark::EpsilonSvmTrainer&lt; InputType, CacheType &gt;</a></li>
<li>PrecomputedMatrixType&#160;:&#160;<a class="el" href="classshark_1_1_one_class_svm_trainer.html#a86883b114a933da1c1ad6799f692da12">shark::OneClassSvmTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_squared_hinge_c_svm_trainer.html#a9fe861ad7ccd5a4f2d89732f010c26c4">shark::SquaredHingeCSvmTrainer&lt; InputType, CacheType &gt;</a></li>
<li>PreferedSelectionStrategy&#160;:&#160;<a class="el" href="structshark_1_1_box_based_shrinking_strategy.html#a8e49b05f112110b820b466c39ac9042e">shark::BoxBasedShrinkingStrategy&lt; Problem &gt;</a>, <a class="el" href="classshark_1_1_box_constrained_problem.html#a9a09c817b94eb35a5b80ecf647149b95">shark::BoxConstrainedProblem&lt; SVMProblem &gt;</a>, <a class="el" href="classshark_1_1_svm_problem.html#acef7c20b210e81a62d01e9eadd61dc49">shark::SvmProblem&lt; Problem &gt;</a></li>
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